PicklingError while running pergrams.clean()

[MXK606]

Hey everyone!

I recently installed the ivs package on my Mac and when I run the pergrams.clean function, I get the following error;

PicklingError                             Traceback (most recent call last)
<ipython-input-5-c28bacec0f40> in <module>
     10 
     11 niter,freqbins = 10,[0,1.2]
---> 12 p2 = pergrams.clean(times,signal,fn=1.2,gain=1.0,niter=niter,freqbins=freqbins)

~/opt/anaconda3/lib/python3.8/site-packages/ivs/timeseries/decorators.py in globpar(*args, **kwargs)
    122                 logger.debug("Weights were initially not normalized: normalization performed.")
    123                 kwargs['weights'] = weights
--> 124         return fctn(times,signal,*args[2:],**kwargs)
    125 
    126     return globpar

~/opt/anaconda3/lib/python3.8/site-packages/ivs/timeseries/decorators.py in globpar(*args, **kwargs)
     52             logger.debug("parallel: starting process %s: f=%.4f-%.4f"%(i,kwargs['f0'],kwargs['fn']))
     53             p = Process(target=fctn, args=myargs, kwargs=kwargs)
---> 54             p.start()
     55             all_processes.append(p)
     56 

~/opt/anaconda3/lib/python3.8/multiprocessing/process.py in start(self)
    119                'daemonic processes are not allowed to have children'
    120         _cleanup()
--> 121         self._popen = self._Popen(self)
    122         self._sentinel = self._popen.sentinel
    123         # Avoid a refcycle if the target function holds an indirect

~/opt/anaconda3/lib/python3.8/multiprocessing/context.py in _Popen(process_obj)
    222     @staticmethod
    223     def _Popen(process_obj):
--> 224         return _default_context.get_context().Process._Popen(process_obj)
    225 
    226 class DefaultContext(BaseContext):

~/opt/anaconda3/lib/python3.8/multiprocessing/context.py in _Popen(process_obj)
    282         def _Popen(process_obj):
    283             from .popen_spawn_posix import Popen
--> 284             return Popen(process_obj)
    285 
    286     class ForkServerProcess(process.BaseProcess):

~/opt/anaconda3/lib/python3.8/multiprocessing/popen_spawn_posix.py in __init__(self, process_obj)
     30     def __init__(self, process_obj):
     31         self._fds = []
---> 32         super().__init__(process_obj)
     33 
     34     def duplicate_for_child(self, fd):

~/opt/anaconda3/lib/python3.8/multiprocessing/popen_fork.py in __init__(self, process_obj)
     17         self.returncode = None
     18         self.finalizer = None
---> 19         self._launch(process_obj)
     20 
     21     def duplicate_for_child(self, fd):

~/opt/anaconda3/lib/python3.8/multiprocessing/popen_spawn_posix.py in _launch(self, process_obj)
     45         try:
     46             reduction.dump(prep_data, fp)
---> 47             reduction.dump(process_obj, fp)
     48         finally:
     49             set_spawning_popen(None)

~/opt/anaconda3/lib/python3.8/multiprocessing/reduction.py in dump(obj, file, protocol)
     58 def dump(obj, file, protocol=None):
     59     '''Replacement for pickle.dump() using ForkingPickler.'''
---> 60     ForkingPickler(file, protocol).dump(obj)
     61 
     62 #

PicklingError: Can't pickle <function clean at 0x7f9482adb0d0>: it's not the same object as ivs.timeseries.pergrams.clean

I found an answer to this error on stack overflow here but I'm not sure if I understand the error properly.

I ran the following code in a Jupyter Notebook;

import numpy as np
import matplotlib.pyplot as plt
from ivs.timeseries import pergrams

## Clean test

times_ = np.linspace(0,150,1000)
times = np.array([times_[i] for i in range(len(times_)) if (i%10)>7])
signal = np.sin(2*np.pi/10*times) + np.random.normal(size=len(times))

niter,freqbins = 10,[0,1.2]
p2 = pergrams.clean(times,signal,fn=1.2,gain=1.0,niter=niter,freqbins=freqbins)

Please could someone assist me in fixing this issue?
The python version is 3.8.5 and the Jupyter Notebook version is 6.1.4

Thanks!